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Exploring Misconceptions Related to Sampling Distribution, Confidence Intervals, and Hypothesis Testing: A Perspective from Econometrics

In: Advances in Quantitative Methods for Economics and Business

Author

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  • María del Mar López-Martín

    (University of Almeria)

  • Rocio Álvarez-Arroyo

    (University of Granada)

Abstract

This chapter addresses the inherent complexities in teaching key terms of statistical inference, exploring the difficulties associated with understanding fundamental concepts such as sampling distribution, confidence intervals, and hypothesis testing. Often, the pedagogical approach focuses more on presenting formulas than on interpretation, resulting in significant gaps in acquired knowledge. In particular, students often find it challenging to comprehend the sample distribution and interpret confidence intervals. Furthermore, confusion continues to exist in hypothesis testing, specifically concerning significance levels and p-values. We would like to emphasise the need for a more integrated and real-world oriented teaching approach that prioritises conceptual understanding over memorisation. The analysis carried out can be taken into account in order to improve teaching performance by offering an opportunity to identify, rectify, and prevent persistent errors.

Suggested Citation

  • María del Mar López-Martín & Rocio Álvarez-Arroyo, 2025. "Exploring Misconceptions Related to Sampling Distribution, Confidence Intervals, and Hypothesis Testing: A Perspective from Econometrics," Springer Books, in: Salvador Cruz Rambaud & Juan Evangelista Trinidad Segovia & Catalina B. García-García (ed.), Advances in Quantitative Methods for Economics and Business, chapter 0, pages 147-157, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-84782-0_8
    DOI: 10.1007/978-3-031-84782-0_8
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